Mariangela (Mary) Casadei career began in Statistics, in Italy. She's moved through a number of industries, and now leads a team of clever analysts and scientists questing to find simple explanations for the complex work they do.

She speaks of ruthless prioritising, of how changing organisations teaches you good life lessons, and the importance of de-stressing.

Find show notes and transcriptions at smarterdatapeople.com/mariangela-casadei

]]>

Mariangela (Mary) Casadei career began in Statistics, in Italy. She's moved through a number of industries, and now leads a team of clever analysts and scientists questing to find simple explanations for the complex work they do.

She speaks of ruthless prioritising, of how changing organisations teaches you good life lessons, and the importance of de-stressing.

Find show notes and transcriptions at smarterdatapeople.com/mariangela-casadei

]]>36:30yesbuild,analytics,capabilityMariangela (Mary) Casadei career began in Statistics, in Italy. She's moved through a number of industries, and now leads a team of clever analysts and scientists questing to find simple explanations for the complex work they do.
She speaks of ruthless prioritising, of how changing organisations teaches you good life lessons, and the importance of de-stressing.
Here's her linked in profile
Find show notes and transcriptions at smarterdatapeople.com/mariangela-casadei219fullCindy Tonkin18: Peter Gebhardt: What's the business problem?18: Peter Gebhardt: What's the business problem?Mon, 29 Apr 2019 02:49:05 +0000Peter Gebhardt and his teams analyse NSW Traffic data to improve the experience of the end user: the drivers on NSW Roads.

Peter’s career path, like many of my podcast guests, has passed from marketing to analytics, finance to public service. He talks about why changing industries is good. We get to hear about his experience of transitioning an analytics team to agile: it’s all about knowing where you’re going and helping others, protection and collaboration. It requires clarity of outcome, and a scrum master who protects the team from the onslaught of requests. Peter says much more than that.

It’s all about building analytics capability across your whole team. Here’s the transcript and show notes:

]]>Peter Gebhardt and his teams analyse NSW Traffic data to improve the experience of the end user: the drivers on NSW Roads.

Peter’s career path, like many of my podcast guests, has passed from marketing to analytics, finance to public service. He talks about why changing industries is good. We get to hear about his experience of transitioning an analytics team to agile: it’s all about knowing where you’re going and helping others, protection and collaboration. It requires clarity of outcome, and a scrum master who protects the team from the onslaught of requests. Peter says much more than that.

It’s all about building analytics capability across your whole team. Here’s the transcript and show notes:

]]>32:36yesscience,data,analytics,capabilityPeter Gebhardt and his teams analyse NSW Traffic data to improve the experience of the end user: the drivers on NSW Roads.
Peter’s career path has passed from marketing to analytics, finance to public service. We hear about transitioning analytics team to agile.
It’s all about building analytics capability across your whole team. Here’s the transcript and show notes:
https://smarterdatapeople.com/episode/peter-gebhardt/218fullCindy Tonkin15: Jeremy Corbet: ResilienceJeremy Corbet: ResilienceMon, 15 Apr 2019 03:18:25 +0000Jeremy Corbet is a recruiter who helps Data Scientists and Analysts find jobs. He is based in Sydney, Australia and is originally from France. Here is his Linked In Profile.

In this podcast Jeremy and I discuss what makes for a good data analyst, what clients ask for when searching for the right data analyst, the differences between the Australian and the French market, and the importance of resilience.

Show notes and an episode transcript here: smarterdatapeople.com/jeremy-corbet

]]>Jeremy Corbet is a recruiter who helps Data Scientists and Analysts find jobs. He is based in Sydney, Australia and is originally from France. Here is his Linked In Profile.

In this podcast Jeremy and I discuss what makes for a good data analyst, what clients ask for when searching for the right data analyst, the differences between the Australian and the French market, and the importance of resilience.

Show notes and an episode transcript here: smarterdatapeople.com/jeremy-corbet

]]>38:29yesscience,data,analystJeremy Corbet is a recruiter who helps Data Scientists and Analysts find jobs. He is based in Sydney, Australia and is originally from France. Here is his Linked In Profile.
In this podcast Jeremy and I discuss what makes for a good data analyst, what clients ask for when searching for the right data analyst, the differences between the Australian and the French market, and the importance of resilience.
Show notes and an episode transcript here: smarterdatapeople.com/jeremy-corbet215fullCindy Tonkin16: Ingo Bentrott: It's not about the algorithmIngo Bentrott: it's not about the algorithmThu, 11 Apr 2019 01:54:17 +0000Ingo and I discuss making sure your data house is on good foundations: understanding where the data came from and what it means. Since we met improvising we talk about how improv has influenced his lecturing style. We venture into corporate politics, by way of the the Pomodoro technique and sail past the pirate ship of "no dickheads" policies.

It's about how you build analytics capability, working smarter, faster and nicer.

You'll find a transcription and show notes at smarterdatapeople.com/ingo-bentrott

]]>Ingo and I discuss making sure your data house is on good foundations: understanding where the data came from and what it means. Since we met improvising we talk about how improv has influenced his lecturing style. We venture into corporate politics, by way of the the Pomodoro technique and sail past the pirate ship of "no dickheads" policies.

It's about how you build analytics capability, working smarter, faster and nicer.

You'll find a transcription and show notes at smarterdatapeople.com/ingo-bentrott

]]>48:22yesanalytics,capabilityIngo and I discuss making sure your data house is on good foundations: understanding where the data came from and what it means. Since we met improvising we talk about how improv has influenced his lecturing style. We venture into corporate politics, by way of the the Pomodoro technique and sail past the pirate ship of "no dickheads" policies.
It's about how you build analytics capability.
You'll find a transcription and show notes at smarterdatapeople.com/ingo-bentrott
216fullCindy Tonkin14: Amy Hodler: Context and ConnectionsAmy Hodler: Context and ConnectionsMon, 18 Mar 2019 06:53:42 +0000Amy Hodler works for Neo4j. Here’s her Linked in profile.

Neo4j specialise in graph analytics and the connections between data. I met Amy through the website Givitas

We’re human. We cannot parallel process. Take the time to sharpen your own skills and give yourself a rest. There’s always more to learn. There are always things you don’t know.

I mention Givitas, which is related to Adam Grant’s Givers and Takers research and Generosity Burnout. Here are some of the things Amy and I speak about.

Amy’s background in Conflict resolution

Why she took on projects she wasn’t quite ready for

The worst thing you can do for your brain

The all-important “to don’t” list

What she looks for in a new recruit: Curiosity balanced with ability to concentrate, variety of things they’re interested in

Why she asks potential recruits to describe a process

Going beyond the problem the client thinks they have to the actual problem that needs solving

We have a scarcity of good language to describe machine learning or AI so how do we get analogies and visuals to help flesh that out: e.g. the difficulties Amy had in explaining machine learning to her mother

Amy’s Favourite Charity is a local community charity: the importance of making yourself available to help: the community finds you.

How everybody “lies”. People don’t even know what they want.

Why feedback and criticism is like training a dog

Working ourselves “stupid”: Importance of sleep, The endless torrent of reading

We’re human. We cannot parallel process. Take the time to sharpen your own skills and give yourself a rest. There’s always more to learn. There are always things you don’t know.

I mention Givitas, which is related to Adam Grant’s Givers and Takers research and Generosity Burnout. Here are some of the things Amy and I speak about.

Amy’s background in Conflict resolution

Why she took on projects she wasn’t quite ready for

The worst thing you can do for your brain

The all-important “to don’t” list

What she looks for in a new recruit: Curiosity balanced with ability to concentrate, variety of things they’re interested in

Why she asks potential recruits to describe a process

Going beyond the problem the client thinks they have to the actual problem that needs solving

We have a scarcity of good language to describe machine learning or AI so how do we get analogies and visuals to help flesh that out: e.g. the difficulties Amy had in explaining machine learning to her mother

Amy’s Favourite Charity is a local community charity: the importance of making yourself available to help: the community finds you.

How everybody “lies”. People don’t even know what they want.

Why feedback and criticism is like training a dog

Working ourselves “stupid”: Importance of sleep, The endless torrent of reading

]]>47:05yesscience,data,sciences,ideas,decision,recruiting,analytics,complex,explainingAmy Hodler works for Neo4j who specialise in graph analytics and the connections between data.
Get the show notes at
https://smarterdatapeople.com/episode/amy-hodler/
Amy and I speak about:
her background in Conflict resolution
Why she took on projects she wasn’t quite ready for
The worst thing you can do for your brain
The “to don’t” list
Going beyond the problem the client thinks they have
How everybody “lies”.
Get the show notes at https://smarterdatapeople.com/episode/amy214fullCindy Tonkin13: Chris Carr: Sticky BeakingChris Carr: Sticky beakingTue, 12 Feb 2019 07:09:15 +0000Chris Carr has spent a long career in the analytics space in financial services. He was voted one of the top 10 leaders in Analytics by IAPA in 2018.

He speaks about:

the variety and interest that comes with working in a larger organisation (and being a bit of a sticky beak)

the “we’ve got data, let’s do something with it” problem

His bent towards “exposure” on the Exposure – Education – Experience idea (70/20/10)and his method for researching through people (what he calls “self-researchers”

his preferences for recruiting and a growing feeling that “If I had to start from scratch I wouldn’t start with analysts”

why he calls himself an analytics professional

the kinds of questions he doesn’t ask when he recruits (and the answers he’s looking for)

the need to keep sight of the end stage which is a decision

why scoping well is a time saver

the difficulty of beautiful dashboards

how he structures his day (newsflash: being at work early isn’t compulsory)

how he keeps up to date on what his teams are up to, how he builds team and learns at the same time

which meeting is the most attended meeting for his team each week?

his realisation about how hard he may have been to manage in his early career

Find more shownotes and links at https://smarterdatapeople.com/episode/chris-carr/

]]>39:37yesscience,data,leadership,decisionChris Carr was voted one of the top 10 leaders in Analytics by IAPA in 2018.
He speaks of:
- variety and interest that comes with working in a larger organisation
- the “we’ve got data, let’s do something with it” problem
- "If I had to start from scratch I wouldn’t start with analysts”
- the difficulty of beautiful dashboards
- how he builds team and learns at the same time
Find more shownotes and links at https://smarterdatapeople.com/episode/chris-carr/213fullCindy Tonkin12: Glen Bell: if you're not curious you'll be miserableGlen Bell: If you're not curious you'll be miserableTue, 12 Feb 2019 06:26:01 +0000Glen Bell is the former president of the Data Management Association in Sydney, Australia. Here is his linked in profile. He has been working in Data Management for several decades.

Glen and I met improvising together more than 15 years ago. Here are some of the things he talks about

Data School: a new idea for educating data people so that they are equipped to work in the decision sciences

Most important thing with data analysis is that people make decisions and take action from it

70% of data analysis is data cleansing and prep. But if you can't count then you're out of the game

The essential nature of curiosity for data people: If you're not a curious person in data you'll be miserable!

How important it is to be easy to work with

Most expensive thing you can do in an organisation is to call a meeting

The importance of first impressions

No one as a child says "When I grow up I want to be a consultant"

It's more than just being able to do predictive analytics. you need to get the client's attention for long enough to get context, and everyone else wants their attention too: you need to find a compelling reason for the client to fit you into their day

Machine learning and data catalogues, Alation as part of the new wave of data cataloguing tools

The essential nature of curiosity for data people: If you're not a curious person in data you'll be miserable!

How important it is to be easy to work with

Most expensive thing you can do in an organisation is to call a meeting

The importance of first impressions

No one as a child says "When I grow up I want to be a consultant"

It's more than just being able to do predictive analytics. you need to get the client's attention for long enough to get context, and everyone else wants their attention too: you need to find a compelling reason for the client to fit you into their day

Machine learning and data catalogues, Alation as part of the new wave of data cataloguing tools

]]>44:07yesscience,data,decision,analyticsGlen Bell is the former president of the Data Management Association in Sydney, Australia. He has worked in Data Management for decades.
Glen and I met improvising more than 15 years ago. He talks about
- educating data people so they are equipped to work in the decision sciences
- pie charts, Pecha kucha, Ignite Sydney and the Pyramid principle
- why you should be easy to work with
and much more: visit https://smarterdatapeople.com/episode/12-glen-bell/212fullCindy Tonkin11: Sachin Kumar: Smart is the new sexySachin Kumar: Be curiousTue, 12 Feb 2019 05:50:59 +0000Sachin Kumar’s most important value is problem-solving. He wants the work he does to add value to the business.

Here’s his linked in profile. It was a great pleasure to have him on the podcast today.

the importance of mirroring the client’s language back to them when explaining a solution (this is a fundamental of rapport: see here)

what makes a data scientist succeed or fail

why being smarter isn’t always better

who owns data science – is it IT, Business, Consulting?

the gap between the business and data science and what needs to happen with it

how values power his day and help him manage time

why we should be solving the problems which are a priority for the business

why he’s given up reading books

his dream to be a travelling problem-solver

his advice to prospective data scientists (don’t fall in love with super-hero tech!)

why you should ask all 20 questions next time you play that game

You'll find more links and videos and show notes at smarterdatapeople.com/sachin-kumar

]]>38:44yesSachin Kumar’s wants the work he does to add value to the business.
You'll find out about
- how smart is the new sexy
- why business acumen matters
- the importance of language when explaining a solution
- the gap between the business and data science
- why he’s given up reading books
- his advice to prospective data scientists
- why you should ask ALL 20 questions next time you play that game
You'll find more links and videos and show notes at smarterdatapeople.com/sachin-kumar211fullCindy Tonkin10: Mohammad Elteibi - learn somethingMohammad Elteibi - Leaders in data science talking about working smarter, faster and nicer. Wed, 30 Jan 2019 05:20:52 +0000Mohammad Elteibi leads a small team who are playing with some lovely data.

]]>40:50yesMohammad Elteibi talks about
- working with teams and the need to have an outcome focus
- creating psychological safety
- the power of food to build team
- analytics can be isolating: it's not always a collaborative thing
- his path from food technologist to data analyst team leader
- why he prefers online conferences
- the importance of understanding a team's frustrations
For more information and the links to his recommendations and ideas, go to smarterdatapeople.com/210fullCindy Tonkin9: Ben Morley-John: Brain FoodBen Morley-John: Brain FoodWed, 16 Jan 2019 05:22:17 +0000Ben Morley-John is a major force in Smash Delta. Here’s his linked in profile.

In this episode Ben and I cover:

how Smash Delta blends capability to make integration faster (and which capabilities they think are important)

the key elements for a great data scientist

why ego is catastrophic in this industry

why he’s not that excited about conferences anymore and what he thinks needs to happen to make it better

the problems of consultants on their high horses, using impenetrable jargon and creating complexity (and how to get over it)

the best way to learn fast, get respect and cut through the crap quickly

More details, links and show notes here: https://smarterdatapeople.com/episode/ben-morley-john/

]]>38:30yesscience,data,management,scientists,leadershipBen Morley-John is a major force in Smash Delta. In this episode Ben and I cover:
- the key elements for a great data scientist
- why ego is catastrophic
- why he’s not that excited about conferences anymore
- the problems of consultants on their high horses
- the best way to learn fast, get respect and cut through the crap quickly
More details, links and show notes here: https://smarterdatapeople.com/episode/ben-morley-john/29fullCindy Tonkin8: Cindy Tonkin with Helen Lawson-WilliamsCindy Tonkin with Helen Lawson-WilliamsWed, 12 Dec 2018 02:37:35 +0000In this episode Cindy Tonkin (that's me!) is interviewed by Helen Lawson-Williams. Helen has a lovely mind, and she asks good questions...

]]>25:51yesscience,data,teams,leadership,leadersIn this episode Cindy Tonkin (that's me!) is interviewed by Helen Lawson-Williams. Helen has a lovely mind, and she asks good questions...
This time I get to answer the questions, and it's fun.
For all of the references, links, podcasts, books and fun stuff we mention, go to smarterdatapeople.com/28fullCindy Tonkin7: David Scott: we're the newcomers, we have to make the effortDavid Scott: we're the newcomers, we have to make the effortThu, 06 Dec 2018 02:24:21 +0000David Scott has worked in Banking, Telecommunications and in the Public Sector. Right now his agile teams are doing some very interesting work with traffic data. The team's stated aim is to make things better for us, the end user of NSW roads.

David shares insights on how agile is building a happy, collaborative team, his leadership hacks and what he looks for in recruits. Some of this will be surprising, some of it is just good sense.

]]>David Scott has worked in Banking, Telecommunications and in the Public Sector. Right now his agile teams are doing some very interesting work with traffic data. The team's stated aim is to make things better for us, the end user of NSW roads.

David shares insights on how agile is building a happy, collaborative team, his leadership hacks and what he looks for in recruits. Some of this will be surprising, some of it is just good sense.

]]>40:15yesscience,leadership,information,recruiting,analytics,datascience,decisionscienceDavid Scott has worked in Banking, Telecomms and the Public Sector. Right now his agile teams are doing very interesting work with traffic data. The team's aim is to make things better for us, the end user of NSW roads.
David shares insights on how agile is building a happy, collaborative team, his leadership hacks and what he looks for in recruits. Some of this will be surprising, some of it is just good sense.Visit smarterdatapeople.com/7-david-scott for links, references and anything else we mention27fullCindy Tonkin6: Christina Igasto - No feedback only lessonsChristina Igasto - No failure only learningMon, 26 Nov 2018 06:33:15 +0000Dr Christina Igasto has a strong background in Analytics applied to Health Care, especially in Sweden. Her PhD is in Artificial Intelligence. She is now in Australia. Here's her background on Linked in.

Big ideas from this podcast:

the intricacies and multi-layered complexities of digital transformation in government agencies

Christina's approach to presenting complex ideas to senior execs and boards: how she uses top-down and bottom-up comms

maths and stats matters to be a good data analyst, but there's more to it: how do you solve problems, and how do you explain how you solved it

in recruiting, part of the story is whether the new data scientists fit in with the rest of the team

her experience in teaching AI and image analysis for 9 years in a University in Sweden: when presenting information to an audience different people will respond differently when they are "lost"

importance of keeping data and research fresh

how she uses challenges to keep herself committed to her health regime

why "failures" aren't failures but lessons

her impressions of Australia and Australian business

For more information and links, see https://smarterdatapeople.com/episode/6-christina-igasto/

]]>Dr Christina Igasto has a strong background in Analytics applied to Health Care, especially in Sweden. Her PhD is in Artificial Intelligence. She is now in Australia. Here's her background on Linked in.

Big ideas from this podcast:

the intricacies and multi-layered complexities of digital transformation in government agencies

Christina's approach to presenting complex ideas to senior execs and boards: how she uses top-down and bottom-up comms

maths and stats matters to be a good data analyst, but there's more to it: how do you solve problems, and how do you explain how you solved it

in recruiting, part of the story is whether the new data scientists fit in with the rest of the team

her experience in teaching AI and image analysis for 9 years in a University in Sweden: when presenting information to an audience different people will respond differently when they are "lost"

importance of keeping data and research fresh

how she uses challenges to keep herself committed to her health regime

why "failures" aren't failures but lessons

her impressions of Australia and Australian business

For more information and links, see https://smarterdatapeople.com/episode/6-christina-igasto/

]]>41:22yeseducation,selling,leadership,learning,dataanalysisDr Christina Igasto has a strong background in Analytics applied to Health Care, in Sweden and around the world. Her PhD is in Artificial Intelligence. She is now living in Australia.
She talks of the complexities of digital transformation in government agencies; how do you solve problems, and how do you explain how you solved it?
For more information and links, see https://smarterdatapeople.com/episode/6-christina-igasto/26fullCindy Tonkin5: Shailendra Kumar: What's the problem?Shailenda Kumar - What's the problem?Tue, 20 Nov 2018 07:40:18 +0000​Shailendra Kumar is the author of Making Money out of data. It's not an analytics book, it's a business book.

Shaily is a keynote speaker on data analytics. In this podcast he talks about the "everyone does analytics" phenomenon, the importance of articulating the business problem before anything else, and what makes a real data scientist.

Here's a summary:

How he prospers in a world where "everyone does analytics"

Analytics as a business or strategic function, not an IT function

the importance of creating the need first

What problem are you solving?

no one thinks about the problem - you need to articulate a business problem. Tell me in plain English the business problem, devoid of technical terms

what if the client doesn't have a business problem?

how much money will the business problem save when the problem is fixed?

sales people throw buzzwords around and they don't know what's underpinning it - it's important that they use the right terminology, or they'll deliver things which aren't the thing you've sold in; and then the client blames the function

with 23 million Australians and 250,000 people on linked in saying they do data science - is that true? there are really only 20 people who can really do analytics: someone who was writing SQL has now "become" a data scientist

Shaily is a keynote speaker on data analytics. In this podcast he talks about the "everyone does analytics" phenomenon, the importance of articulating the business problem before anything else, and what makes a real data scientist.

Here's a summary:

How he prospers in a world where "everyone does analytics"

Analytics as a business or strategic function, not an IT function

the importance of creating the need first

What problem are you solving?

no one thinks about the problem - you need to articulate a business problem. Tell me in plain English the business problem, devoid of technical terms

what if the client doesn't have a business problem?

how much money will the business problem save when the problem is fixed?

sales people throw buzzwords around and they don't know what's underpinning it - it's important that they use the right terminology, or they'll deliver things which aren't the thing you've sold in; and then the client blames the function

with 23 million Australians and 250,000 people on linked in saying they do data science - is that true? there are really only 20 people who can really do analytics: someone who was writing SQL has now "become" a data scientist

skills of a good data analyst: must have stats and problem solving

analytics is a creative field

Get more at smarterdatapeople.com/episode/​5​-shailendra-kumar

]]>41:53yesdecisionscienceShailendra Kumar is the author of "Making Money out of data". It's not an analytics book, it's a business book.
Shaily talks about the "everyone does analytics" phenomenon, the importance of articulating the business problem before anything else, and what makes a real data scientist.
With 23 million Australians and 250,000 people on linked in saying they do data science - is that true?
Get more smarterdatapeople.com/episode/5-shailendra-kumar​
25fullCindy Tonkin4: Sidney Minassian - Have the fight early4 Sidney Minassian Tue, 23 Oct 2018 02:58:15 +0000Sidney Minassian is an entrepreneur who runs, among other things, Contexti and Actionable Insights.

He's been thinking about the problems of data science and analytics for a while now, and this podcast is a few of his thought nuggets, including:

7 ways to increase your value as a data scientist (who doesn't love a good listicle?)

Why it's not just about the data and the tools - it's also about how we take advantage of the tool?

What the c-level need to know about data

Why you don't need to know EVERYTHING to work in data science

Seven ways to increase your value as a data scientist

]]>41:59yesscience,data,sciences,decision,analyticsSidney Minassian is an entrepreneur who runs Contexti and Actionable Insights.
He's been thinking about the problems of data science and analytics for a while now, and this podcast is a few of his thought nuggets, including 7 ways to increase your value as a data scientist (who doesn't love a good listicle?), some classics on how to run meetings more effectively and why you need to say no.
For links to relevant content, visit http://smarterdatapeople.com/episode/4-sidney-minassian24fullCindy Tonkin3: Elizabeth Moore: Your analytics are only as good as the problem you're trying to solveElizabeth Moore: Your analytics are only as good as the problem you're trying to solveThu, 20 Sep 2018 02:36:16 +0000Elizabeth Moore is a world-class leader of Insights and Analytics teams in large corporations. I am honoured to have spent some time with her talking about what makes for smarter data people.

Liz speaks about:

Working in a meeting-rich environment

Her routine as a Senior Manager in a complex corporate environment

Why data professionals get arrested in their careers (and how not to)

The importance of fueling curiosity

How the best relationships are forged in disaster

How she keeps up with her professional development

The importance of the meeting before the meeting

Why she seeks "consulting" skills in insight professionals and is hiring ex-Strategy consultants because they have what it takes to get to the "next level" with insights

]]>32:38yesbusiness,analytics,insights,datascienceElizabeth Moore is a world-class leader of Insights and Analytics teams in large corporations. I am honoured to have spent some time with her talking about what makes for smarter data people.
Liz speaks about:
Why data professionals get arrested in their careers
How she keeps up with her professional development
What kinds of people have what it takes to get to the "next level" with insights
For links to relevant content, visit http://smarterdatapeople.com/episode/3-elizabeth-moore/13fullCindy Tonkin2: Aaron Artery - Customer Crunch - Values MatterAaron Artery Customer Crunch: Values MatterTue, 28 Aug 2018 05:58:22 +0000Aaron is a decision scientist, and head of Customer Crunch. He’s always entertaining and endlessly evolving and learning.

Aaron talks about

being an evangelist of decision science

the importance of planning in his world

how he now lives and breathes his values, and it means he loves working even more (in a good way)

how he has outsourced the management of his exercise

how to find useful things to read

being in the enviable position of not wanting another customer and how it was a boon to his business to “fly under the radar”

]]>43:14yesscience,data,business,management,leadership,decision,analyticsAaron is a decision scientist, and head of Customer Crunch. He’s always entertaining and endlessly evolving and learning.
Aaron talks about being an evangelist of decision science,
why he loves working even more than he always has (and that's good). His career path from call centre to “big idea”. Three dimensions he uses to explain things to customers. What he looks for when he hires data scientists. Links and info, at smarterdatapeople.com/episode/2-aaron-artery/12fullCindy Tonkin1: Keegan O'Shea: The best data insights are sentences2-Keegan O'Shea: the best data insights are sentencesSun, 19 Aug 2018 08:16:57 +0000In this podcast, my very first recorded, you'll hear about how the best data insights are sentences, how deep learning is like making beer, and the three types of things you say no to.

Keegan O'Shea is cool and interesting. He's the epitome of a Smarter Data Person.

If you're a data scientists, data analyst or insights professional or if you lead data science teams, you'll find this interesting

]]>38:27yesscience,data,leadership,hacks,managing,people,productivity,analytics,smarter,analysts,cleversKeegan O'Shea is cool and interesting. He's the epitome of a Smarter Data Person.
He'll talk about how the best data insights are sentences, why deep learning is like making beer, and the three types of things you say no to.
I interview leaders in data science, insights and the decision sciences to find out how they work smarter, faster and nicer12fullCindy Tonkin0: Let's get better1-Let's get betterSun, 19 Aug 2018 06:28:00 +0000I’m a big believer in self-improvement. I’m also an avid reader of research into management and leadership. Research is just that, though, theory (no matter how well done). What do real people do to work smarter, faster and nicer?

So on this podcast we explore the habits of leaders in the data science field to ask them what they do to improve their personal productivity, work more effectively with people and have a better life.

‘Cause we all deserve one right?

Podcast site: smarterdatapeople.com

]]>I’m a big believer in self-improvement. I’m also an avid reader of research into management and leadership. Research is just that, though, theory (no matter how well done). What do real people do to work smarter, faster and nicer?

So on this podcast we explore the habits of leaders in the data science field to ask them what they do to improve their personal productivity, work more effectively with people and have a better life.

‘Cause we all deserve one right?

Podcast site: smarterdatapeople.com

]]>03:23noEvery data scientist is smart. How do you work smarter, faster and nicer? Join me as we explore the world of data science leaders: their routines, habits, favourite ways to learn, hobbies and even their mistakes.
If you're a data scientist, an insights generator or a decision scientist or just manage a team of them, this podcast is for you.11trailerCindy Tonkin